Cargando…
Crop Mapping Based on Sentinel-2 Images Using Semantic Segmentation Model of Attention Mechanism
Using remote sensing images to identify crop plots and estimate crop planting area is an important part of agricultural remote sensing monitoring. High-resolution remote sensing images can provide rich information regarding texture, tone, shape, and spectrum of ground objects. With the advancement o...
Autores principales: | Gao, Meixiang, Lu, Tingyu, Wang, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422268/ https://www.ncbi.nlm.nih.gov/pubmed/37571791 http://dx.doi.org/10.3390/s23157008 |
Ejemplares similares
-
Crop classification in high-resolution remote sensing images based on multi-scale feature fusion semantic segmentation model
por: Lu, Tingyu, et al.
Publicado: (2023) -
Multiple-Attention Mechanism Network for Semantic Segmentation
por: Wang, Dongli, et al.
Publicado: (2022) -
Based on cross-scale fusion attention mechanism network for semantic segmentation for street scenes
por: Ye, Xin, et al.
Publicado: (2023) -
Semantic Segmentation and Depth Estimation Based on Residual Attention Mechanism
por: Ji, Naihua, et al.
Publicado: (2023) -
Contour-aware semantic segmentation network with spatial attention mechanism for medical image
por: Cheng, Zhiming, et al.
Publicado: (2021)